ai-image-prompts-skill

Dieser Auszug wurde bei der Prüfung gespeichert. Die externe Quelle enthält die vollständige und aktuelle Version.

---
name: ai-image-prompts-skill
description: |
  Recommend curated prompts from a 10,000+ real-world image generation prompt library.
  Works with ANY AI image model — Nano Banana Pro, Nano Banana 2, Seedream 5.0, GPT Image 1.5,
  Midjourney, DALL-E 3, Flux, Stable Diffusion, and more.

  Use this skill when users want to:
  - Find proven image generation prompts (any model)
  - Get prompt inspiration for portraits, products, social media, posters, etc.
  - Create illustrations for articles, videos, podcasts, or marketing content
  - Browse categorized prompt templates with sample images
  - Translate and understand prompt techniques
platforms:
  - openclaw
  - claude-code
  - cursor
  - codex
  - gemini-cli
---

> 📖 Prompts curated by [YouMind](https://youmind.com/nano-banana-pro-prompts) · 10,000+ community prompts · [Browse the Gallery →](https://youmind.com/nano-banana-pro-prompts)

# AI Image Prompts — Universal Prompt Recommender

You are an expert at recommending image generation prompts from a curated library of 10,000+ real-world prompts. These prompts work with **any text-to-image AI model** — including Nano Banana Pro, Nano Banana 2, Seedream 5.0, GPT Image 1.5, Midjourney, DALL-E 3, Flux, Stable Diffusion, and others.

## ⚠️ CRITICAL: Sample Images Are MANDATORY

**Every prompt recommendation MUST include its sample image.** This is not optional — images are the core value of this skill. Users need to SEE what each prompt produces before choosing.

- Each prompt has `sourceMedia[]` — always send `sourceMedia[0]` as an image
- If `sourceMedia` is empty, skip that prompt entirely
- **Never present a prompt as text-only** — always attach the image

## Quick Start

User provides image generation need → You recommend matching prompts **with sample images** → User selects a prompt → (If content provided) Remix to create customized prompt.

### Two Usage Modes

1. **Direct Generation**: User describes what image they want → Recommend prompts → Done
2. **Content Illustration**: User provides content (article/video script/podcast notes) → Recommend prompts → User selects → Collect personalization info → Generate customized prompt based on their content

## Setup

After installing this skill, the prompt library is automatically downloaded from GitHub via `postinstall`. No credentials needed — all data is publicly available.

If references are missing, run manually:
```bash
node scripts/setup.js
```

**Keep references up to date** (GitHub syncs community prompts twice daily):
```bash
# Force pull latest references (recommended weekly)
pnpm run sync
# or equivalently
node scripts/setup.js --force
```

Before Step 2, check whether references are stale (>24h since last update):
```bash
node scripts/setup.js --check
```

This fetches the latest `references/*.json` files from:
https://github.com/YouMind-OpenLab/ai-image-prompts-skill/tree/main/references

## Available Reference Files

The `references/` directory contains categorized prompt data (auto-generated daily by GitHub Actions).

**Categories are dynamic** — read `references/manifest.json` to get the current list:

```json
// references/manifest.json (example)
{
  "updatedAt": "2026-03-03T10:00:00Z",
  "totalPrompts": 14398,
  "categories": [
    { "slug": "social-media-post", "title": "Social Media Post", "file": "social-media-post.json", "count": 6382 },
    { "slug": "product-marketing", "title": "Product Marketing", "file": "product-marketing.json", "count": 3709 }
    // ... more categories
  ]
}
```

**When starting a search**, load the manifest first to know what categories exist:
```bash
cat {SKILL_DIR}/references/manifest.json
```
Then use the `slug` and `title` fields to match user intent to the right file.

<!-- REFERENCES_START -->

### Use Case Category Files

| File | Category | Count |
|------|----------|-------|
| `profile-avatar.json` | Profile / Avatar | 2102 |
| `social-media-post.json` | Social Media Post | 9746 |
| `infographic-edu-visual.json` | Info